Senior Deep Learning Research Engineer, Greyparrot AI
+ Employee stock option scheme
More information about location
1 day a week in office
AI-powered computer vision software for recycling automation
Be an early applicant
AI-powered computer vision software for recycling automation
21-100 employees
Be an early applicant
+ Employee stock option scheme
More information about location
1 day a week in office
21-100 employees
Company mission
To improve recycling efficiency and minimise the environmental impact of waste.
Role
Who you are
- If you are motivated by the challenge of applying cutting-edge Deep Learning in messy, real-world environments where your input directly reduces the global carbon footprint, you are in the right place
- 3+ years (5+ preferred) applying deep learning in industry settings
- Experience with applying latest Deep Learning research in PyTorch
- Experience with active learning, semi-supervised learning, learning from noisy labels, model robustness (at least two)
- Experience with architectures such as YOLO, ViT, ResNet
- Ability to write clear, efficient, and scalable code using Python and PyTorch
- Experience with numpy, scipy, OpenCV, Albumentations
- Analytical detail-oriented mindset with strong abstract thinking and a solid theoretical understanding of neural networks
Desirable
- Experience in the waste industry
- Startup or scale up experience
What the job involves
- You will report directly to the Head of Deep Learning
- You will work within a focused DL team and collaborate with a dedicated Data team
- You will also regularly interact with the wider company to ensure technical alignment across the organisation
- If you live in London or within commuting distance, we’d like you to come into the office at least once a week. If you’re elsewhere in the UK, we ask you to come in once a month, and for our Quarterly All Hands
- As a Senior Deep Learning Research Engineer, you are an architect of a sustainable future. You will have the autonomy to propose, discuss, and implement the best solutions for our customers
- Pushing the boundaries of deep learning by building upon the latest research in object detection and classification
- Developing deep learning methods using best software development practices; training, analyzing, and reporting model performance
- Developing internal tools to further automate research and analysis workflows
Salary benchmarks
Our take
Some 60% of the 2 Billion tonnes of solid waste produced globally each year ends up in open dumps and landfill, causing major environmental impact. While global recycling rates are just 14%, a consequence of inefficient recycling systems, rising labour costs, and strict quality requirements imposed on recycled material. Hence Greyparrot is responding to a major opportunity of applying waste recognition software to boost recycling efficiency, reduce impurities and support scalability.
Greyparrot AI helps companies work in a circular economy by highlighting inefficiencies in sorting at waste facilities. The artificial intelligence vision can spot items on a conveyor belt faster and with better accuracy than a human. Their system automatically identifies different types of waste, providing composition information and analytics to help facilities increase recycling rates.
The opportunity for Greyparrot is clear, and the startup’s goal is to become the most accurate and widely used waste recognition software, unlocking the financial value of waste whilst having a measurable impact on the environment.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
50% female employees
Company
Funding (last 2 of 3 rounds)
May 2022
$11m
Series A
May 2020
$3.8m
Total funding: $16.3m
Company benefits
- 🏡Customised Hybrid Working: Enjoy the flexibility of a personalised work arrangement between the office and home at you and your team's discretion, depending on the role
- 📈Employee Stock Option Scheme: Be part of our success and share in the growth with stock options
- 🏖️25 Days Holiday + BH (UK employees only): Embrace a generous annual leave, with 25 days plus bank holidays to recharge and rejuvenate. Additionally, carry over up to 3 unused holiday days each new year
- 👶Enhanced Parental Leave: Experience comprehensive support with enhanced maternity, paternity, adoption, or shared parental leave
- 🚴 Cycling Benefits: Take advantage of our cycle to work scheme, allowing you to purchase a bicycle through salary sacrifice, saving at least 26%, or opt to rent a bicycle for up to 12 months
- 💼 Home Office Budget: Enhance your remote work setup with a yearly budget of £500 dedicated to equipping your home office with the tools and resources you need for optimal productivity
- 🧘♂️1-1 Mental Health Support: Prioritise your mental well-being with personalized support and 1-1 therapy provided by Spill
- 🎓Learning and Development Budget: Invest in your professional growth with a dedicated budget and support from Sunlight for £500 per year
- ☀️Summer Friday Half-Days: Celebrate the warmer months with Friday half-days
- 🍏Unlimited Healthy Snacks: Fuel your day with a variety of fresh fruit, tea, coffee, and healthy snacks every time you’re in the office
- 💰Competitive Salary: Salary band available upon application.
- 🌍Nomad Working: Immerse yourself in the freedom of nomadic work with our 12-day allowance, in your chosen remote locations (within a 2hr Time Zone).
Company values
- IMPACT - Dream big: We rally around our ambitious goals with a unified mission to save the environment. It’s what fuels our pursuit of excellence and ignites the spark of innovation in everything we do.
- AGILITY - Scale Flexibly: The world never stands still and neither do we. We embrace change with a glass-half- full attitude, remaining adaptable but intentional about where we’re heading. Our “everything is solvable” outlook helps us iterate and learn quickly to deliver innovative solutions effectively.
- INTEGRITY - Lead by example: We embody the change we wish to see in the world, leading with honesty, authenticity and humility, even in the face of difficulty. We honour our word and commitments to our team members, customers, and communities.
- CURIOUSITY - Embrace the unfamiliar: We are experimentalists by nature. We challenge ideas to unlock their full potential while respecting the individuals behind them. We keep our egos in check, maintaining self-awareness and embracing feedback as a catalyst for growth.
- CUSTOMER CHAMPION - Empower the Customer: We understand our customers intimately and equip them with the tools they require to achieve their objectives. We place their needs at the forefront, balancing profit with sustainability. We work collaboratively with the understanding that their success is key to fulfilling our ambitions.
Company HQ
Bermondsey, London, UK
Articles
Leadership
Mikela Druckman
(CEO)Previously worked in the fields of computer vision and augmented reality and was Chief Commercial Officer at Blippar.
Ambash Mitra
(CPO)Founder of Blippar and investor in AI, AR, food tech and genomics.
Diversity, Equity & Inclusion at Greyparrot AI
Kaitlyn Crossley (VP of People Operations)
- Statement of Policy - Greyparrot is committed to encouraging equality, diversity and inclusion amongst our team and eliminating discrimination. The aim is for our team to be truly representative of all sections of society and our customers, and for each employee to feel respected and able to give their best. We are also committed against unlawful discrimination of customers or the public.
- This policy's purpose is to:
- 1. Provide equality, fairness and respect for all in our employment, whether temporary, part-time or full-time.
- 2. Not unlawfully discriminate because of the Equality Act 2010 protected characteristics of: age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race (including colour, nationality, and ethnic or national origin), religion or belief, sex, and sexual orientation.
- 3. Oppose and avoid all forms of unlawful discrimination. This includes in: pay and benefits, terms and conditions of employment, dealing with grievances and discipline, dismissal, redundancy, leave for parents, requests for flexible working, selection for employment, promotion, training or other development opportunities.
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